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Deep Learning with PyTorch

You're reading from   Deep Learning with PyTorch A practical approach to building neural network models using PyTorch

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781788624336
Length 262 pages
Edition 1st Edition
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Author (1):
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Vishnu Subramanian Vishnu Subramanian
Author Profile Icon Vishnu Subramanian
Vishnu Subramanian
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Table of Contents (11) Chapters Close

Preface 1. Getting Started with Deep Learning Using PyTorch FREE CHAPTER 2. Building Blocks of Neural Networks 3. Diving Deep into Neural Networks 4. Fundamentals of Machine Learning 5. Deep Learning for Computer Vision 6. Deep Learning with Sequence Data and Text 7. Generative Networks 8. Modern Network Architectures 9. What Next? 10. Other Books You May Enjoy

Interesting ideas to explore

Most of the concepts that we learned in the book form the foundation of modern applications that are powered by deep learning. In this section, we will look at the different interesting projects that we can do that are related to computer vision and natural language processing (NLP).

Object detection

All the examples we have seen in this book help you in detecting whether a given image is this (cat) or that (dog). But, to solve some of the problems in the real world, you may need to identify different objects in an image, such as shown here:

Output of object detection algorithm

This image shows the output of an object detection algorithm where the algorithm is detecting objects such as a beautiful...

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